Created by:  University of Washington

  • Emily Fox

    Taught by:  Emily Fox, Amazon Professor of Machine Learning

    Statistics

  • Carlos Guestrin

    Taught by:  Carlos Guestrin, Amazon Professor of Machine Learning

    Computer Science and Engineering
Basic Info
Commitment6 weeks of study, 5-8 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.6 stars
Average User Rating 4.6See what learners said
Syllabus

FAQs
How It Works
Задания курса
Задания курса

Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.

Помощь сокурсников
Помощь сокурсников

Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.

Сертификаты
Сертификаты

Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.

Creators
University of Washington
Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.
Pricing
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Earn a shareable Course Certificate

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Ratings and Reviews
Rated 4.6 out of 5 of 1,041 ratings

Clear and well designed course. The assignments are quite thorough. Sometimes, quiz question are not so clear though.

As explicações poderiam ser um pouco mais detalhadas neste curto. Tive certa dificuldade em alguns conceitos apresentados, mais do que nos outros cursos.

Like all the other ones, this as well was an amazing course. The topics covered in were the most interesting ones till now for me, as earlier days when I started programming I used often think about problems like these and used to wonder how it was done. Now I feel like I might be able to do them.

Its a shame that you no longer provide the Recommender System course, since that was something I was even more interested in, and its kinda sad that I am not gonna have access to it.

Since I took the courses 1, 2 and 3 of this series, I really enjoyed this fourth part a lot!

Now I'm really looking forward to do some clustering!